code: def test_forward_does_a_bilinear_product(self):
      params = Params(
          {
              "vector_dim": 2,
              "matrix_dim": 2,
              "normalize": False,
          }
      )
      bilinear = BilinearAttention.from_params(params)
      bilinear._weight_matrix = Parameter(
          torch.FloatTensor([[-0.3, 0.5], [2.0, -1.0]])
      )
      bilinear._bias = Parameter(torch.FloatTensor([0.1]))
      a_vectors = torch.FloatTensor([[1, 1]])
      b_vectors = torch.FloatTensor([[[1, 0], [0, 1]]])
      result = bilinear(a_vectors, b_vectors).detach().numpy()
      assert result.shape == (1, 2)
      assert_almost_equal(result, [[1.8, -0.4]])
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/attention/bilinear_attention_test.py
imports: from __future__ import absolute_import
  from numpy.testing import assert_almost_equal
  import torch
  from torch.nn.parameter import Parameter
  from allennlp.common import Params
  from allennlp.modules.attention import BilinearAttention
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 1 for calling the TestBilinearAttention obj's underlying member method code with example usage: obj.test_forward_does_a_bilinear_product() without return types